Clinical Imaging
Volume 34, Issue 1 , Pages 47-52, January 2010

Proton magnetic resonance spectroscopy of musculoskeletal lesions at 3 T with metabolite quantification

  • Chan Wha Lee

      Affiliations

    • Research Institute and Hospital, National Cancer Center, Goyang-si, Gyeonggi-do 410-769, South Korea
    • Department of Medicine, Yonsei University Graduate School, Seoul 120-752, South Korea
  • ,
  • Joo-Hyuk Lee

      Affiliations

    • Research Institute and Hospital, National Cancer Center, Goyang-si, Gyeonggi-do 410-769, South Korea
    • Corresponding Author InformationCorresponding author. 111 Jungbalsan-ro, Ilsandong-gu, Goyang-si, Gyeonggi-do 410-769, South Korea. Tel.: +82 31 920 2636; fax: +82 31 920 2643.
  • ,
  • Dae Hong Kim

      Affiliations

    • Research Institute and Hospital, National Cancer Center, Goyang-si, Gyeonggi-do 410-769, South Korea
  • ,
  • Hye Sook Min

      Affiliations

    • Research Institute and Hospital, National Cancer Center, Goyang-si, Gyeonggi-do 410-769, South Korea
  • ,
  • Byung-Kiu Park

      Affiliations

    • Research Institute and Hospital, National Cancer Center, Goyang-si, Gyeonggi-do 410-769, South Korea
  • ,
  • Hwan Sung Cho

      Affiliations

    • Research Institute and Hospital, National Cancer Center, Goyang-si, Gyeonggi-do 410-769, South Korea
  • ,
  • Hyun Guy Kang

      Affiliations

    • Research Institute and Hospital, National Cancer Center, Goyang-si, Gyeonggi-do 410-769, South Korea
  • ,
  • Jin-Suck Suh

      Affiliations

    • Department of Medicine, Yonsei University Graduate School, Seoul 120-752, South Korea
  • ,
  • Shigeru Ehara

      Affiliations

    • Department of Radiology, School of Medicine, Iwate Medical University, Morioka 020-8505, Japan

Received 20 January 2009; accepted 10 March 2009. published online 05 June 2009.

Abstract 

Purpose

To evaluate whether proton MR spectroscopy (MRS) at 3 T with metabolite quantification is helpful for characterizing musculoskeletal lesions and to reveal whether the concentration of choline is correlated with the pathologic degree of malignancy.

Material and methods

Three-tesla MR images and proton MRS data from 27 consecutive patients with surgically proven musculoskeletal lesions were retrospectively analyzed. We analyzed the presence of choline peaks of malignant tumors according to the degree of malignancies, and we compared them with those of benign lesions. The concentrations of choline calculated by means of the linear combination of model spectra were also compared with respect to the degree of malignancy in each group.

Results

The proton MRS had an overall sensitivity of 68.4%, specificity of 87.5%, positive predictive value of 92.3%, and negative predictive value of 53.8% for the detection of choline compounds. The positive detection rate for choline compounds in the primary malignancy group (53.8%) was lower than that of the metastasis group (100%). All false-negative results were shown in the Grade 1 primary malignancy group. There was no difference in the concentration of choline compounds with respect to the pathologic degree of differentiation.

Conclusion

MR spectroscopy at 3 T with metabolite quantification is a helpful method that shows high specificity (87.5%) in characterizing musculoskeletal lesions, even though its sensitivity (68.4%) is relatively low. Grade 1 primary malignancies of bone and soft tissue tumor have a high potential for producing false-negative results.

Keywords: MR spectroscopy, Bone and soft tissue tumor, Bone and soft tissue malignancy, Pathologic grading, Metabolic quantification

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 This work was supported in part by grants from the National Cancer Center, Korea (0710665-2).

PII: S0899-7071(09)00090-4

doi:10.1016/j.clinimag.2009.03.013

Clinical Imaging
Volume 34, Issue 1 , Pages 47-52, January 2010